Principal AI Engineer

Gainwell Technologies

. Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications .

Posted 10/3/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing, building, and optimizing machine learning and deep learning models for healthcare applications, with a strong focus on compliance with HIPAA and ethical AI principles. Proficient in deploying AI solutions in cloud environments and utilizing MLOps best practices for model refinement and efficiency.

Highest-signal resume keywords

Machine Learning EngineeringDeep Learning Model DevelopmentPython ProgrammingGenAI and NLP ExpertiseHealthcare AI Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningGenAINatural Language ProcessingPythonTensorFlowPyTorchMLOpsData PreprocessingFeature Engineering

Soft Skills

Problem-SolvingCollaboration

Tools & Technologies

AWSAzureGCPSparkHadoopSQLNoSQL

Certifications & Qualifications

Master’s or Ph.D. in Computer ScienceAIData Science

Industry Keywords

HIPAARegulatory ComplianceHealthcare ApplicationsAI EthicsData Privacy

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformHadoopNoSQLPythonPyTorchSparkSQLTensorflow

About the role

Key responsibilities & impact

Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications
Develop, test, and deploy AI solutions in cloud and on-premise environments
Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring HIPAA and regulatory compliance
Implement and optimize AI models within Gainwell’s existing technology stack
Collaborate with software engineers to ensure seamless system integration
Monitor, refine, and optimize AI models for accuracy, efficiency, and speed using MLOps best practices
Stay updated with AI/ML advancements and explore new technologies and methodologies
Ensure AI implementations adhere to healthcare regulations, ethical AI principles, and data privacy standards
Identify opportunities to automate workflows and optimize business processes using AI-driven solutions

Requirements

What you’ll need

Master’s or Ph.D. in Computer Science, AI, Data Science, or a related field
5+ years in AI/ML engineering, including hands-on work with GenAI, NLP, deep learning, and computer vision
Strong coding skills in Python and frameworks like TensorFlow and PyTorch
Experience with LLMs (e.g., GPT, Gemini, Claude), including prompt engineering and optimization
Familiarity with cloud platforms (AWS, Azure, GCP), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL)
Experience developing, deploying, and fine-tuning LLMs for real-world applications, including prompt engineering, model optimization, and inference efficiency
Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks
Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions
Plus for experience in healthcare AI and understanding of regulatory standards like HIPAA and CMS
Video cameras must be used during all interviews and during the initial week of orientation

Benefits

Comp & perks

Fully Remote Opportunity – Work from anywhere in the U.S.
Minimal Travel Required – Occasional travel opportunities (0-10%)
Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment